Debris Flow Risk Assessment Model Based On Linear Programming Optimization Algorithm Under Geological Safety Environment

In the current debris flow risk assessment system, there are still defects in the weight assignment process. This paper aims to study each assessment factor's weight assignment in the risk assessment of debris flow. Based on rigorous mathematical theory derivation, the boundary conditions of the weight are determined by the equal weight method, the analytic hierarchy process and the variation coefficient method. Moreover, based on the variable weight method, a linear programming debris flow risk assessment model is established. Taking 20 debris flows in the southeastern part of the Qinghai-Tibet Plateau as the research object, the debris flow scale, drainage area, main channel length, basin relative relief, longitudinal slope, loose source material reserves and daily rainfall were selected as assessment factors. Solve the optimization weight matrix when the debris flow is most dangerous by a linear programming optimization algorithm, and calculate the score matrix to rank the debris flow risk. The assessment result is better than the specific weight assignment method. The proposed method is a reliable assessment method for disaster prevention and reduction.